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The great energy predictor shootout. 2. Measuring retrofit savings.

Author(s) : HABERL J. S., THAMILSERAN S.

Type of article: Article

Summary

Results from the contest show that neural networks again provide the more accurate model of a building's energy use. However, in contrast to the first contest (see also reference 95-1050) the second contest's results show that cleverly assembled statistical models also appear to be as accurate, and more accurate in some cases, than some of the neural network entries.

Details

  • Original title: The great energy predictor shootout. 2. Measuring retrofit savings.
  • Record ID : 1999-0403
  • Languages: English
  • Subject: Environment
  • Source: ASHRAE Journal - vol. 40 - n. 1
  • Publication date: 1998/01
  • Document available for consultation in the library of the IIR headquarters only.

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